MedShapeNet: A Large-scale Dataset of 3D Medical Shapes (paper, presentation, website, download)
pip install MedShapeNetCore , MedShapeNetCore Show Case
Overview
Contribution Guidelines
Installation
References
Contributors
List of Related Publications
Contact
MEDSHAPENET FEEDBACK is a platform for researchers to contribute shapes, provide feedbacks (e.g., report corrupted shapes for removal, suggest improvements) and showcase their own research/applications utilizing MedShapeNet. It is an important mean of communication for MedShapeNet developers, users and contributors for continuously refining the database and promoting the translation of shape-realted methods from computer vision to medical applications. Shape contributors have the chance of being listed as collaborators of the MedShapeNet project upon request. For more details about the project, please check out our paper and website.
By filing a pull request or opening an issue in this repository, you can:
- Report Issues: report to us corrupted/incorrect/unusable shapes you found or request removal of certain shapes if you are the owners of the original datasets. [issue]
- Contribute Shapes: contribute medical shapes extracted from your own datasets. [issue]
- Showcase Research/Applications: describe your research/project that utilizes MedShapeNet by creating a new folder in this repository, following this example. [pull request]
- Suggest Improvement: tell us the desired functions you want in the MedShapeNet web interface. [issue]
Follow the following templates for issues and pull requests:
search query of the shape(s):
description of the problem:
(optional) screenshot of the problematic shape(s):
link to dataset(s):
description of the dataset(s): publications, technical report, etc.
contributor information: name, affiliation, homepage
other comments:
Formatting is flexible. You can find existing examples here and here
pip install MedShapeNetCore
For detailed usage, refer to this Google CoLab.
If you use MedShapeNet in your research, please cite MedShapeNet as:
@article{li2023medshapenet,
title={MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision},
author={Li, Jianning and Pepe, Antonio and Gsaxner, Christina and Luijten, Gijs and Jin, Yuan and Ambigapathy, Narmada and Nasca, Enrico and Solak, Naida and Melito, Gian Marco and Memon, Afaque R and others},
journal={arXiv preprint arXiv:2308.16139},
year={2023}
}
Refer to our MedShapeNet Paper for a full list of contributors of the project.
Refer to the publication page.
Contact Jianning Li ([email protected]) for any questions related to MedShapeNet.